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Multi-label classification algorithms implemented in Python

Project Description

# MLCLAS MLCLAS is a Python module for multi-label classification built on Scipy.

The project is built during my graduation project for bachelor’s degree.

## Dependencies MLCLAS is tested to work under Python 3.5, and on the systems of OS X and Linux.

It is promised to work as intended with these pakages:

  • NumPy >= 1.10
  • SciPy >= 0.17.0
  • scikit-learn >= 0.17.0
  • cvxpy >= 0.4.0

Lower version of dependencies may cause unexpected problems, so it is strongly recommended to update these packages.

## Documentation The functions provided by this library is quite concise. You may view the examples in the examples folder for reference.

If you are reading this from Pypi, please visit github page to download the examples folder.

Release History

Release History

This version
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0.0.3

History Node

0.0.2

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
MLCLAS-0.0.3.tar.gz (45.5 kB) Copy SHA256 Checksum SHA256 Source Jul 29, 2016

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